code: def _unpack_vectorised_domain(x, dim_ordering):
      """Unpacks a vectorised domain."""
      ret = [None] * len(dim_ordering)
      counter = 0
      for idx, num_dims in enumerate(dim_ordering):
          if num_dims == "":
              ret[idx] = x[counter]
              counter += 1
          else:
              ret[idx] = x[counter : counter + num_dims]
              counter += num_dims
      assert counter == len(x)  # Check if number of variables match
      return ret
  
imports: from __future__ import print_function
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from warnings import warn
  from .None import domains
  from ..parse.config_parser import config_parser
  from ..utils.general_utils import flatten_list_of_objects_and_iterables, get_original_order_from_reordered_list, transpose_list_of_lists
  from ..utils.oper_utils import random_sample_from_euclidean_domain, random_sample_from_discrete_euclidean_domain, random_sample_from_integral_domain, random_sample_from_prod_discrete_domain
label_desc: Use image node_id 10 for calling a global function with example usage: _unpack_vectorised_domain(x, dim_ordering) and returns: ret